Discovering workflow transactional behavior from event-based log

被引：0
作者：
Gaaloul, W [1 ]
Bhiri, S [1 ]
Godart, C [1 ]
机构：
[1] LORIA, INRIA, CNRS, UMR 7503, F-54506 Vandoeuvre Les Nancy, France
来源：
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2004: COOPIS, DOA, AND ODBASE, PT 1, PROCEEDINGS | 2004年 / 3290卷
关键词：
business intelligence; workflow mining; transactional Workflows; enterprize knowledge discovery; knowledge modelling;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover transactional workflow that cannot be seen at the level of behavioral aspects of workflow. Their limitations mainly come from their incapacity to discover the transactional dependencies between process activities, or activities transactional properties. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event logs. We propose an algorithm to discover workflow patterns and workflow termination states (WTS). Then based on the discovered control flow and set of termination states, we use a set of rules to mine the workflow transactional behavior.
引用
收藏
页码：3 / 18
页数：16
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